Creating continous subplots with multiple x axes - python-3.x

I have the following dataframe:
------------------------------------------------------------
| Month | low_temp | high_temp | Wages | Extreme |
------------------------------------------------------------
| Jan | 0 | 3 | -0.42 | 1000 |
------------------------------------------------------------
| Jan | 1 | 3 | 0.56 | 3000 |
------------------------------------------------------------
| Feb | -1 | 2 | -0.61 | 2000 |
------------------------------------------------------------
| Feb | 0 | 1 | 0.36 | 3500 |
-------------------------------------------------------------
| Mar | 1.5 | 4 | -0.25 | 3000 |
-------------------------------------------------------------
| Mar | 2 | 5 | 0.75 | 4000 |
-------------------------------------------------------------
| Apr | 3 | 5 | -0.55 | 3000 |
------------------------------------------------------------
| Apr | 3.25 | 4 | 0.24 | 6000 |
-------------------------------------------------------------
What I'm trying to do is create one continuous plot with two x axes.
So, it would have the follow features:
one y-axis for low_temp and high_temp.
two lines: low_temp, high_temp
x_axis1 (the important one): Extreme
x_axis2 (below or above the x_axis1, lines up with it but isn't used to plot anything): Wages
And then, for each Month, create this chart and then string it together horizontally
so it ends up:
y --------------------------
| | | | |
| jan | feb | mar | apr |
-------------------------
x axis 1
x axis 2
This is my code attempt but it causes the x-axis to not be in line at all!
for index, month in enumerate(Months):
a = df[df['Month']==month].sort_values(by='Extreme')
x = a['Extreme']
y_1 = a['low_temp']
y_2 = a['high_temp']
plt.subplot(1,4,index+1)
plt.plot(x,y_1,'bo-')
plt.plot(x,y_2, 'ro-')
plt.xticks(a.Wages)
plt.title(month)
plt.show()
The charts also appear in a vertical line so they aren't horizontally contiguous.
Any help is very much appreciated! thanks!

Related

Show text as value Power Pivot using DAX formula

Is there a way by using a DAX measure to create the column which contain text values instead of the numeric sum/count that it will automatically give?
In the example below the first name will appear as a value (in the first table) instead of their name as in the second.
Data table:
+----+------------+------------+---------------+-------+-------+
| id | first_name | last_name | currency | Sales | Stock |
+----+------------+------------+---------------+-------+-------+
| 1 | Giovanna | Christon | Peso | 10 | 12 |
| 2 | Roderich | MacMorland | Peso | 8 | 10 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 4 | 6 |
| 1 | Giovanna | Christon | Peso | 11 | 13 |
| 2 | Roderich | MacMorland | Peso | 9 | 11 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 5 | 7 |
| 1 | Giovanna | Christon | Peso | 15 | 17 |
| 2 | Roderich | MacMorland | Peso | 10 | 12 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 6 | 8 |
| 1 | Giovanna | Christon | Peso | 17 | 19 |
| 2 | Roderich | MacMorland | Peso | 11 | 13 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 7 | 9 |
+----+------------+------------+---------------+-------+-------+
No DAX needed. You should put the first_name field on Rows and not on Values. Select Tabular View for the Report Layout. Like this:
After some search I found 4 ways.
measure 1 (will return blank if values differ):
=IF(COUNTROWS(VALUES(Table1[first_name])) > 1, BLANK(), VALUES(Table1[first_name]))
measure 2 (will return blank if values differ):
=CALCULATE(
VALUES(Table1[first_name]),
FILTER(Table1,
COUNTROWS(VALUES(Table1[first_name]))=1))
measure 3 (will show every single text value), thanks # Rory:
=CONCATENATEX(Table1,[first_name]," ")
For very large dataset this concatenate seems to work better:
=CALCULATE(CONCATENATEX(VALUES(Table1[first_name]),Table1[first_name]," "))
Results:

How to compose sales table for collections of items that are sold separately?

I want to compose sales table for purchased and sold items to see total profit. It's easy to do when items are purchased and sold individually or as a lot. But how to handle situation when one buys collection of items and sells them one by one. For example, I buy a collection (C) of a hammer and a screwdriver and sell tools separately. If I would enter data into simple table as in the image, I would get wrong profit result.
When there are only two items, I could divide their purchase price randomly, but when there are many items and not all of them are yet sold, I can't easily see if this collection already made profit or not.
I expect correct output of profit. In this case collection cost was 10 and selling price of all collection items was 13. Thus it should show profit of 3, not loss of -7. I was thinking of adding 2 new column, like IsCollection, CollectionID. Then derive a formula, which would use either simple subtraction or would check price of a whole collection and subtract it from the sum of items that belong to that collection. Deriving such formula is another question... But maybe there is an easier way of accomplishing the same
I added a column COLLECTION to identify item who belong to a collection.
Then I used SUMIF to sum sell price for items which belong at the same collection.
Then I used IF in Profit column to use summed sell price or single sell price.
You need to define in some formula a range of cell (see below).
Problem: you can't add profit values to obtain Total profit.
I used opencalc (but it should be almost the same in Excel).
Content of
SUM_COLL (row2):
=SUMIF($A$1:$A$22;"="&A2;$D$1:$D$22)
SUM_COLL (row3):
=SUMIF($A$1:$A$22;"="&A3;$D$1:$D$22)
and so on.
Profit (row2):
=IF(A2<>"";E2-C2;D2-C2)
Profit (row3):
=IF(A3<>"";E3-C3;D3-C3)
+------------+-----------+-------------+------------+----------+--------+
| COLLECTION | Item name | Purch Price | Sell Price | SUM_COLL | Profit |
+------------+-----------+-------------+------------+----------+--------+
| | A | 1 | 1.5 | 0 | 0.5 |
+------------+-----------+-------------+------------+----------+--------+
| | B | 2 | 2.1 | 0 | 0.1 |
+------------+-----------+-------------+------------+----------+--------+
| C | C1 | 10 | 7 | 27 | 17 |
+------------+-----------+-------------+------------+----------+--------+
| C | C2 | 10 | 6 | 27 | 17 |
+------------+-----------+-------------+------------+----------+--------+
| D | D1 | 7 | 15 | 23 | 16 |
+------------+-----------+-------------+------------+----------+--------+
| | E | 8 | 12 | 0 | 4 |
+------------+-----------+-------------+------------+----------+--------+
| C | C3 | 10 | 14 | 27 | 17 |
+------------+-----------+-------------+------------+----------+--------+
| D | D2 | 7 | 8 | 23 | 16 |
+------------+-----------+-------------+------------+----------+--------+
| | | | | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+
| | | | | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+
| | | | | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+
| | | | | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+
Update:
I added two more column to make Profit summable:
COUNT_COLL (row2):
=COUNTIF($A$1:$A$22;"="&A2)
COUNT_COLL (row3):
=COUNTIF($A$1:$A$22;"="&A3)
Profit_SUMMABLE (row2)
=IF(A2<>"";(E2-C2)/G2;D2-C2)
Profit_SUMMABLE (row3)
=IF(A3<>"";(E3-C3)/G3;D3-C3)
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| COLLECTION | Item name | Purch Price | Sell Price | SUM_COLL | Profit | COUNT_COLL | Profit_SUMMABLE |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | A | 1 | 1.5 | 0 | 0.5 | 0 | 0.5 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | B | 2 | 2.1 | 0 | 0.1 | 0 | 0.1 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| C | C1 | 10 | 7 | 27 | 17 | 3 | 5.6666666667 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| C | C2 | 10 | 6 | 27 | 17 | 3 | 5.6666666667 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| D | D1 | 7 | 15 | 23 | 16 | 2 | 8 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | E | 8 | 12 | 0 | 4 | 0 | 4 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| C | C3 | 10 | 14 | 27 | 17 | 3 | 5.6666666667 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| D | D2 | 7 | 8 | 23 | 16 | 2 | 8 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | | | | 0 | 0 | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | | | | 0 | 0 | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
| | | | | 0 | 0 | 0 | 0 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+
...
...
| TOTAL | | | | | 87.6 | | 37.6 |
+------------+-----------+-------------+------------+----------+--------+------------+-----------------+

Using a pivot table's calculated field to sum up conditional values

I have the following data set:
+--------+---------+----------+
| Date | Revenue | Expected |
+--------+---------+----------+
| Dez 5 | 51 | 1 |
| Dez 4 | 72 | 1 |
| Dez 3 | 72 | 1 |
| Dez 2 | 59 | 1 |
| Dez 1 | 81 | 1 |
| Nov 30 | 50 | 1 |
| Nov 29 | 53 | 1 |
| Nov 28 | 99 | 0 |
| Nov 27 | 85 | 0 |
| Nov 26 | 65 | 0 |
| Nov 25 | 94 | 0 |
+--------+---------+----------+
The column Expected determines whether or not the Revenue number has been confirmed. Now, I want to have a pivot table that sums up the revenues per month. The final result should be this:
+-------+-------------------+-----+
| Month | | |
+-------+-------------------+-----+
| Nov | Revenues | 446 |
| | Expected Revenues | 103 |
| Dez | Revenues | 335 |
| | Expected Revenues | 335 |
+-------+-------------------+-----+
I can't seem to get this working for the month November, because my calculated field looks like this:
=IF(Expected*1>0;Revenues*1;0)
I had to add *1 because it wouldn't work for some numbers, so you can mentally ignore this for the moment.
In any case, the result of this is the following:
+-------+-------------------+-----+
| Month | | |
+-------+-------------------+-----+
| Nov | Revenues | 446 |
| | Expected Revenues | 446 |
| Dez | Revenues | 335 |
| | Expected Revenues | 335 |
+-------+-------------------+-----+
Can anyone point me in the right direction here? I understand that the reason for this is most likely that the Expected column gets summed up first and then the IF comparison comes about. Is there a way to circumvent this?

values of new table changing dynamically with the input of the initial table

I have a question in Excel and need your help!
I can do this if it was static problem but I need my end result to adjust to my input in the table because the year sometimes the year finishes sooner or later or is different or the number of activities vary.
Initial table (It always go in chronological order and it only has 1 or nothing. (I put 0 there because I wanted to put space and didn't know how to do it. also Number of activities may vary)
+----------------+------+------+------+------+------+------+
| year | 2016 | 2016 | 2016 | 2017 | 2017 | 2017 |
+----------------+------+------+------+------+------+------+
| month calendar | 10 | 11 | 12 | 1 | 2 | 3 |
| month project | 1 | 2 | 3 | 4 | 5 | 6 |
| Activity 1 | 1 | 1 | 0 | 0 | 0 | 0 |
| Activity 2 | 0 | 0 | 1 | 1 | 1 | 1 |
| Activity 3 | 0 | 0 | 0 | 1 | 1 | 0 |
| Activity 4 | 0 | 1 | 1 | 0 | 0 | 0 |
| Activity 5 | 1 | 1 | 1 | 1 | 1 | 1 |
+----------------+------+------+------+------+------+------+
I want in another sheet
+---------------+------------+------------+------------+------------+
| Activity year | 2016 | | | |
| | | | | |
| Activity 1 | Activity 2 | Activity 3 | Activity 4 | Activity 5 |
| 25,0% | 12,5% | 0,0% | 25,0% | 37,5% |
| | | | | |
| Activity year | 2017 | | | |
| | | | | |
| Activity 1 | Activity 2 | Activity 3 | Activity 4 | Activity 5 |
| 0,0% | 37,5% | 25,0% | 0,0% | 37,5% |
+---------------+------------+------------+------------+------------+
Now imagine that in the "another sheet" I have nothing and I want the result to adjust to the initial table. How can I do this?
Sorry for bad editing but I can't do better.
Any help is good thank you, I answer any question you might have.
I'm going to add something that is related to this and I also need. I need a formula to get the number of different activities per year that happen at least once for my calculations later. In this case it would be a formula for 2016 which the result is 4 and 2017 is 3.

How to make a Linux Scheduler Gantt Chart?

I am studying the linux process scheduler but I can not figure out how to make the Gantt chart for this situation:
Process | Arrival | Burst Time | Sched. Class | RT Priority | RT Quantum | Nice
P1 | 0 | 19 | TS | 0 | | -5
P2 | 7 | 5 | RT-RR | 2 | 5 |
P3 | 11 | 14 | RT-FCFS | 4 | |
P4 | 13 | 4 | TS | 0 | | -5
Can anyone help me please?
For display this information from the table in Ganntt chart you can use just Excel. That is the example of how do it with Excel 2010

Resources