Add rows to dataframe pandas

df = df.append({'a':1, 'b':2}, ignore_index=True)

Append one row to pandas dataframe

df = df.append({'index1': value1, 'index2':value2,...}, ignore_index=True)

Add new row to dataframe pandas

# Add a new row at index k with values provided in list
dfObj.loc['k'] = ['Smriti', 26, 'Bangalore', 'India']

Source: thispointer.com

Python push to dataframe pandas

df = pd.DataFrame({
    'a':[1,2,3],
    'b':[5,6,7]
})

df2 = pd.DataFrame({
    'a':[11,12,13],
    'b':[15,16,17]
})

df = df.append(df2, ignore_index = True )

print(df)

Pandas insert row

 df.loc[-1] = [2, 3, 4]  # adding a row
 df.index = df.index + 1  # shifting index
 df = df.sort_index()  # sorting by index

Source: stackoverflow.com

Add row to dataframe

mydataframe = mydataframe.append(new_row, ignore_index=True)

Source: pythonexamples.org

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