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Discarding randmly scattered empty spaces in pandas data frame


Discarding randmly scattered empty spaces in pandas data frame

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Discarding randmly scattered empty spaces in pandas data frame
Tag : python , By : user177910
Date : November 27 2020, 03:01 PM

I hope this helps . How to ignore empty cells inside a data frame that are randomly spread across the data frame? here is an example of what i have , Also with
ndf = df.replace('',np.nan).apply(sorted,key=pd.isnull,axis=1).add_suffix('_NEW')
ndf = ndf.loc[:,~ndf.isnull().all()]
 ColA_NEW ColB_NEW ColC_NEW
0        A        b        D
1        W        R        D
2        J        H        T
3        Q        A        O

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Deleting empty spaces from the header of a data frame using r


Tag : r , By : Dasharath Yadav
Date : March 29 2020, 07:55 AM
To fix this issue I want to remove the white spaces from the header of a dataframe in R but I don't know how to subset the header only. My dataframe is of the tipe of df given by the following code:
colnames(df) <- gsub(" ","",colnames(df))

why am i getting an empty data frame in pandas?


Tag : python , By : user179190
Date : March 29 2020, 07:55 AM
will help you It seems your separator is not tab, but whitespace, so need sep='\s+':
df = pd.read_csv('path_to_folder/test.bed', sep='\s+',header=0,index_col=0)
df = pd.read_csv('path_to_folder/test.bed', delim_whitespace=True, header=0,index_col=0)

Applying numeric format to a column in a pandas data frame that contains spaces as values


Tag : python , By : kgw
Date : March 29 2020, 07:55 AM
wish helps you You can try a simple try and except block to format the data accordingly.
def format(x):
    try:
        return "{:,}".format(float(x))
    except:
        return x

df_both['col1'] = df_both['col1'].apply(lambda x: format(x))

keep leading spaces when reading strings into pandas data frame?


Tag : pandas , By : user150744
Date : March 29 2020, 07:55 AM

Convert excel file with many sheets (with spaces in the name of the shett) in pandas data frame


Tag : python , By : Arun Thomas
Date : October 07 2020, 12:00 AM
should help you out Using only the code snippet you have shown, each sheet (each DataFrame) will be assigned to the variable sheet_name. Thus, this variable is overwritten on each iteration and you will only have the last sheet as a DataFrame assigned to that variable.
To achieve what you want to do you have to store each sheet, loaded as a DataFrame, somewhere, a list for example. You can then merge or concatenate them, depending on your needs.
all_my_sheets = []
for sheet_name in Matrix.sheet_names:
    sheet_name = pd.read_excel(Matrix, sheet_name)
    all_my_sheets.append(sheet_name)
all_my_sheets = [pd.read_excel(Matrix, sheet_name) for sheet_name in Matrix.sheet_names]
final_df = pd.concat(all_my_sheets, sort=False)
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