Python

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Slicing on entire panda dataframe instead of series results in change of data type and values assignment of first field to NaN, what is happening?

Your second solution raise error if numeric with strings columns: df = pd.DataFrame({ ‘A’:list(‘abcdef’), ‘B’:[4,5,4,5,5,4], ‘C’:[7,8,9,4,2.0,3], ‘D’:[1,3,5,7,1,0], ‘E’:[5,3,6,9,2,4], ‘F’:list(‘aaabbb’) }) print (df[df > 5]) TypeError: ‘>’ not supported between instances …

Slicing on entire panda dataframe instead of series results in change of data type and values assignment of first field to NaN, what is happening? Read More »

Your current code looks quite good. I have changed only some minor things to the python code and got it running. First, I was creating the data manually so we …

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bot doesn’t want to add roles

Its Member.add_roles() not Bot.add_roles() Below is the revised code: @client.command(pass_context=True) @commands.has_role(“🍿║Участники”) async def поздравить(ctx, *, text=None): role = discord.utils.find(lambda r: r.id == 774543492806475816, ctx.message.guild.roles) if role in ctx.author.roles: already=discord.Embed(title=’:clipboard:!поздравить:clipboard:’, colour …

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