I have some pickle files, and I want to load them into Mongodb, without converting them into other formats like csv and JSON. Please let me know if there is a way to do this.
collection.insert({'yourkey': Binary(yourPickleFiles))})
Related
I've read a lot of stackoverflow and other threads where it's been mentioned how to read excel binary file.
Reference: Read XLSB File in Pandas Python
import pandas as pd
df = pd.read_excel('path_to_file.xlsb', engine='pyxlsb')
However, I can not find any solution on how to write it back as .xlsb file after processing using pandas? Can anyone please suggest a workable solution for this using python?
Any help is much appreciated!
I haven't been able to find any solution to write into xlsb files or create xlsb files using python.
But maybe one work around is to save your file as xlsx using any of the many available libraries to do that (such as pandas, xlsxwriter, openpyxl) and then converting that file into a xlsb using xlsb-converter. https://github.com/gibz104/xlsb-converter
CAUTION: This repository uses WIN32COM, which is why this script only supports Windows
you can read binary file with open_workbook under pyxlsb. Please find below the code:
import pandas as pd
from pyxlsb import open_workbook
path=r'D:\path_to_file.xlsb'
df2=[]
with open_workbook(path) as wb:
with wb.get_sheet(1) as sheet:
for row in sheet.rows():
df2.append([item.v for item in row])
data= pd.DataFrame(df2[1:], columns=df2[0])
I want to read a specific line in a csv file in pandas on python.
Here is the structure of the file :
file :
example
how would be the best way to fill the values into a dataframe, with the correct name of the parameters?
thanks for help
Possible methods:
pandas.read_table method seems to be a good way to read (also in chunks) a tabular data file
doc: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_table.html
pandas has a good fast (compiled) csv reader pandas.read_csv (may be more than one).
doc: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html
Ref Link: https://codereview.stackexchange.com/questions/152194/reading-from-a-txt-file-to-a-pandas-dataframe
I have some .xls datas in my Google Cloud Storage and want to use airflow to store it to GCP. Can I export it directly to BigQuery or can i use additional library (such a pandas and xlrd) to convert the files and store it into BigQuery?
Thanks
Bigquery don't support xls format. The easiest way is to transform the file in CSV and to load it into big query.
However, I don't know your xls format. If it's multisheet you have to work on the file.
I have a problem where I have to fetch the data through API calls using Python. I have the data. Now I have to convert it to a csv file.
We do not have to use numpy or panda. We can only use "Import collections" to generate csv file.
I am a beginner in python. Can someone help me with that please?
I wanna use the LDA in gensim for topic modeling over a few thousand documents.
Therefore I´m using a csv-File as Input in the format of a term-document-matrix.
Currently it occurs an error when running the following code:
from gensim import corpora
import_path ="TDM.csv"
dictionary = corpora.csvcorpus(import_path, labels='true')
The error is the following:
dictionary = corpora.csvcorpus(import_path, labels='true')
AttributeError: module 'gensim.corpora' has no attribute 'csvcorpus'
Am I using the module correctly and if so, where is my mistake?
Thanks in advance.
This also bugged me for quite awhile.
It looks like csvcorpus is actually in the experimental stage as you can see in their github issue, https://github.com/RaRe-Technologies/gensim/issues/1583
I would recommend going by the old fashioned way of using the csv package to read your csv file instead.
Cheers.