how to add row to pandas dataframe code example

Example 1: add rows to dataframe pandas

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

Example 2: 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 3: 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)

Example 4: 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

Example 5: add row to dataframe with index

In [99]: df = pd.DataFrame(np.random.randn(8, 4), columns=['A','B','C','D'])

In [100]: s = df.xs(3)

In [101]: s.name = 10

In [102]: df.append(s)
Out[102]: 
           A         B         C         D
0  -2.083321 -0.153749  0.174436  1.081056
1  -1.026692  1.495850 -0.025245 -0.171046
2   0.072272  1.218376  1.433281  0.747815
3  -0.940552  0.853073 -0.134842 -0.277135
4   0.478302 -0.599752 -0.080577  0.468618
5   2.609004 -1.679299 -1.593016  1.172298
6  -0.201605  0.406925  1.983177  0.012030
7   1.158530 -2.240124  0.851323 -0.240378
10 -0.940552  0.853073 -0.134842 -0.277135