Example 1: add rows to dataframe pandas
df = df.append({'a':1, 'b':2}, ignore_index=True)
Example 2: append to pandas dataframe
df = df.append({'index1': value1, 'index2':value2,...}, ignore_index=True)
Example 3: pandas append index ignore
>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2, ignore_index=True)
A B
0 1 2
1 3 4
2 5 6
3 7 8
Example 4: append dataframe pandas
>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
A B
0 1 2
1 3 4
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
A B
0 1 2
1 3 4
0 5 6
1 7 8
Example 5: pandas add dataframe to the bottom of another
import pandas as pd
appended_dataframe = dataframe_1.append(dataframe_2)
appended_dataframe = pd.concat([dataframe_1, dataframe_2])
dataframe_1 = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
dataframe_2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
appended_dataframe = dataframe_1.append(dataframe_2)
print(appended_dataframe)
A B
0 1 2
1 3 4
0 5 6
1 7 8
A B C D
0 1.0 2.0 NaN NaN
1 3.0 4.0 NaN NaN
0 NaN NaN 5.0 6.0
1 NaN NaN 7.0 8.0
Example 6: appending dataframes pandas
>>> df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))
>>> df
A B
0 1 2
1 3 4
>>> df2 = pd.DataFrame([[5, 6], [7, 8]], columns=list('AB'))
>>> df.append(df2)
A B
0 1 2
1 3 4
0 5 6
1 7 8