pandas add new row code example

Example 1: add rows to dataframe pandas

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

Example 2: append one row 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: how to add a row to a dataframe in python

import pandas as pd

data = {'name': ['Somu', 'Kiku', 'Amol', 'Lini'],
	'physics': [68, 74, 77, 78],
	'chemistry': [84, 56, 73, 69],
	'algebra': [78, 88, 82, 87]}

	
#create dataframe
df_marks = pd.DataFrame(data)
print('Original DataFrame\n------------------')
print(df_marks)

new_row = {'name':'Geo', 'physics':87, 'chemistry':92, 'algebra':97}
#append row to the dataframe
df_marks = df_marks.append(new_row, ignore_index=True)

print('\n\nNew row added to DataFrame\n--------------------------')
print(df_marks)

Example 6: 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