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I have a text file that's content is like bellow(I think it's a JSON object):
{"t":[1322352000,1322438400] , "o":[123,123], "h":[123,123], "l":[123,123], "c":[123,123]}
The problem is, I don't know the number of elements in each array, but they are equal as they are stock data. I like to make a .csv file that each array will fill one column of it. But have no idea and experience to doing that!
How may I approach this?
You can use pandas data frame to convert your file:
import pandas as pd
#df = pd.read_json('/path/to/infile.json')
df = pd.DataFrame({"t":[1322352000,1322438400] , "o":[123,123], "h":[123,123], "l":[123,123], "c":[123,123]})
df.to_csv('/path/to/outfile.csv', sep=",")
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I have a dataset with a column containing strings in multiple languages. I am hoping to remove rows where one column contains a string in any language other than English. I can't seem to find any way to go about this. Does anyone have suggestions for a library or code that might be useful for this purpose?
This seems like a repeat of this, as the root of this question is how to detect non-English languages rather than how to filter a dataset.
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I'm trying to compare frames of a video and to find out the similarity of the frames.
The result should be something like a percentage
Do you have any idea guys?
Thanks
I would use ffmpeg-python to extract both videos as an image sequence and get general video stats, then use Pillow to compare each pixel for each frame individually.
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this is a part of my dataset:
img
I would like to sum the 2 rows that present "Trentino Alto Adige" both in order to have one single row, preserving the "Date" column.
I tried to do this using the groupby and sum functions but it does not work.
This is my attempt:
df = df.groupby(["Date"],["Region"]).sum()
The output is:
TypeError: unhashable type: 'list'
How should I rewrite my code? Thank you
Your groupby is not properly written, it should be:
df = df.groupby(["Date", "Region"]).sum()
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I have xlsx format spreadsheets. For each one I need to set the column width for all but one column to 25 and the width of the remaining column to 50. The unit of measurement is the idiosyncratic one Excel uses.
The spreadsheets are originally produced in Google sheets which has no way to do this so currently I have to download them in xlsx format and then email them to a friend who has Excel to have them fixed as I don't own a copy of Excel myself. This is clearly far from ideal.
Is it possible to set the column widths using openpyxl?
Openpyxl column width
ws.column_dimensions['A'].width = 25
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Is there a way we can read the alphabets from an image, some kind of text recognition method using python.
What I have to do is, read some images to get the text written on them.
Please suggest.
See OCROPUS
EDIT:
Also after seeing the other question here (of which this question is a duplicate), pytesser is much simpler if your image only contains text and no noise (images/illustrations)