Problems reading CSV file - python-3.x

Question

I am new to Python,
I am trying to load the columns into the python file and then display a chart but I keep getting millions of errors.
I have a csv file with 2 columns.
All im trying to do is call the columns and present it on a graph! I originally used dataframe but now im here after multiple attempts.
Code
import matplotlib.pyplot as plt
import csv
import pandas as pd
with open('religion.csv') as file:
reader = csv.reader(file)
count = 0
for row in reader:
print(row)
if count > 5:
break
count +=1
# use the scatter function
#plt.scatter(x, y, alpha=0.5)
x = reader['religions']
y = reader['students']
plt.scatter(x, y, alpha=0.5)
plt.show()
excel file
files and code
Sample data
religions schuler
Romisch-Katholisch 371
Moslem 298
Ohne Bekenntnis 182
Serbisch-Orthodox 120
Evangelisch A.B. 26
Rumnisch-Orthodox 15
Sonstige Religion 9
Updated code (Still not working)
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_fwf('religion.csv')
df.columns.tolist()
x = df['religions']
y = df['schuler']
df.columns.tolist()
plt.scatter(x, y, alpha=0.5)
plt.show()
folder location
Current error
KeyError
Traceback (most recent call last)
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
3077 try:
-> 3078 return self._engine.get_loc(key)
3079 except KeyError:
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'religions'
During handling of the above exception, another exception occurred:
KeyError Traceback (most recent call last)
<ipython-input-6-f2e811496fb9> in <module>()
----> 1 x = df['religions']
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
2686 return self._getitem_multilevel(key)
2687 else:
-> 2688 return self._getitem_column(key)
2689
2690 def _getitem_column(self, key):
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_column(self, key)
2693 # get column
2694 if self.columns.is_unique:
-> 2695 return self._get_item_cache(key)
2696
2697 # duplicate columns & possible reduce dimensionality
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
2487 res = cache.get(item)
2488 if res is None:
-> 2489 values = self._data.get(item)
2490 res = self._box_item_values(item, values)
2491 cache[item] = res
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\internals.py in get(self, item, fastpath)
4113
4114 if not isna(item):
-> 4115 loc = self.items.get_loc(item)
4116 else:
4117 indexer = np.arange(len(self.items))[isna(self.items)]
C:\ProgramData\Anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance)
3078 return self._engine.get_loc(key)
3079 except KeyError:
-> 3080 return self._engine.get_loc(self._maybe_cast_indexer(key))
3081
3082 indexer = self.get_indexer([key], method=method, tolerance=tolerance)
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'religions'

Answer 1

1. While reading the CSV file, you need to specify the sep=';'
df = pd.read_csv("C:/Test/rel.csv", sep=';')
df
Out[417]:
religions schuler
0 Romisch-Katholisch 371
1 Moslem 298
2 Ohne Bekenntnis 182
3 Serbisch-Orthodox 120
4 Evangelisch A.B. 26
5 Rumnisch-Orthodox 15
6 Sonstige Religion 9
2. You can plot it using the pd.plot (build in function) in pandas
This uses matplotlib in the background, you can specify the x & y columns. (I have used 'bar' plot but you can use any other type from this reference):
df.plot(x='religions', y= 'schuler', kind='bar')
Out[418]: <matplotlib.axes._subplots.AxesSubplot at 0xae7e518>
[Plot image]
Image link: https://i.stack.imgur.com/8u0xs.png

Answer 2

Using pandas and matplotlib is fine. Try importing the CSV file like this:
df = pd.read_csv("religion.csv")
If your CSV hasn't got the columns header names, pass them as a list to the name argument. Also if you don't want the first column of the DF to be the index column, set index_col parameter to False. You can check the documentation related to the read_csv here: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html
Then plot your data with pyplot:
plt.scatter(df['religions'], df['students'])
plt.show()