PYTHON

add rows to dataframe pandas

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

dataframe add row

# append row to dataframe without index

a_row = pd.Series([1, 2])
df = pd.DataFrame([[3, 4], [5, 6]])

row_df = pd.DataFrame([a_row])
df = pd.concat([row_df, df], ignore_index=True)

print(df)
# OUTPUT
#    0  1
# 0  1  2
# 1  3  4
# 2  5  6

# append row to dataframe with index

a_row = pd.Series([1, 2])
df = pd.DataFrame([[3, 4], [5, 6]], index = ["row1", "row2"])

row_df = pd.DataFrame([a_row], index = ["row3"])
df = pd.concat([row_df, df])

print(df)
# OUTPUT
#       0  1
# row3  1  2
# row1  3  4
# row2  5  6

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

add one row to DataFrame

import pandas as pd
df.loc[len(df.index)] = [column1, column2, column3] 

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']

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

add new row to dataframe pandas

>>> import pandas as pd
>>> from numpy.random import randint

>>> df = pd.DataFrame(columns=['lib', 'qty1', 'qty2'])
>>> for i in range(5):
>>>     df.loc[i] = ['name' + str(i)] + list(randint(10, size=2))

>>> df
     lib qty1 qty2
0  name0    3    3
1  name1    2    4
2  name2    2    8
3  name3    2    1
4  name4    9    6

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

insert row in dataframe pandas

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

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

python dataframe add row

# add dataframe-rows like this
df5 = pd.DataFrame([1], index=['a'])
df6 = pd.DataFrame([2], index=['a'])
pd.concat([df5, df6], verify_integrity=True)

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

add row to dataframe

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

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)

Appending rows to a DataFrame

s2 = pd.Series(["X0", "X1", "X2", "X3"], index=["A", "B", "C", "D"])

In [32]: result = pd.concat([df1, s2.to_frame().T], ignore_index=True)