Agregar filas a DataFrame Pandas
df = df.append({'a':1, 'b':2}, ignore_index=True)
alberduris
df = df.append({'a':1, 'b':2}, ignore_index=True)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)df = df.append({'index1': value1, 'index2':value2,...}, ignore_index=True)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)# Add a new row at index k with values provided in list
dfObj.loc['k'] = ['Smriti', 26, 'Bangalore', 'India']
>>> 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