Answers for "pandas column index"

1

define a column as index pandas

myDataFrame.set_index('column_name')
Posted by: Guest on March-12-2021
1

add an index column pandas

import numpy as np
import pandas as pd
df = pd.DataFrame({'month': [2, 5, 8, 10],
                   'year': [2017, 2019, 2018, 2019],
                   'sale': [60, 45, 90, 36]})
df.set_index('month')
Posted by: Guest on July-01-2020
2

pandas index

How to add index to the DataFrame at runtime

df["patient"] = ["patient-" + str( i ) for i in range( max( df.index ) + 1  )]
df.set_index( "patient", inplace=True )
---------------------------------------------------------------------                 
patient = pandas.Series( ["patient-" + str( i ) for i in range( max( df.index ) + 1 )] )
df.index = patient
---------------------------------------------------------------------
df.index = ["patient-" + str( i ) for i in range( max( df.index ) + 1 )]
Posted by: Guest on April-17-2021
2

pandas df by row index

indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]
Posted by: Guest on October-22-2020
0

pandas row data to webform

def _getFields(obj, tree=None, retval=None, fileobj=None):
    fieldAttributes = {'/FT': 'Field Type', '/Parent': 'Parent', '/T': 'Field Name', 
    '/TU': 'Alternate Field Name', '/TM': 'Mapping Name', '/Ff': 'Field Flags', 
    '/V': 'Value', '/DV': 'Default Value'}
    if retval is None:
        retval = OrderedDict()
        catalog = obj.trailer["/Root"]
        if "/AcroForm" in catalog:
            tree = catalog["/AcroForm"]
        else:
            return None
    if tree is None:
        return retval

    obj._checkKids(tree, retval, fileobj)
    for attr in fieldAttributes:
        if attr in tree:
            obj._buildField(tree, retval, fileobj, fieldAttributes)
            break

    if "/Fields" in tree:
        fields = tree["/Fields"]
        for f in fields:
            field = f.getObject()
            obj._buildField(field, retval, fileobj, fieldAttributes)

    return retval
Posted by: Guest on October-14-2020
0

add an index column in range dataframe

df = df.loc[df.index.repeat(df['a'])]   
df['c'] = df.groupby(level=0).cumcount() + 1
df = df.reset_index(drop=True)
print (df)
   a  b  c
0  1  x  1
1  2  y  1
2  2  y  2
3  3  z  1
4  3  z  2
5  3  z  3
Posted by: Guest on November-06-2020

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