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Updated 3 years ago
!pip install pyjanitor pyvis --quiet
|████████████████████████████████| 107 kB 5.4 MB/s eta 0:00:01
import pandas as pd
import janitor
import datetime
from IPython.core.display import display, HTML
from pyvis import network as net
import networkx as nx
df_ori = pd.read_csv("/content/drive/MyDrive/linkedin_network/Connections.csv", skiprows=2)
df_ori.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 2757 entries, 0 to 2756
Data columns (total 6 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 First Name 2747 non-null object
1 Last Name 2747 non-null object
2 Email Address 71 non-null object
3 Company 2668 non-null object
4 Position 2668 non-null object
5 Connected On 2757 non-null object
dtypes: object(6)
memory usage: 129.4+ KB