
# lets import libraries
from googleapiclient.discovery import build
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt


#  Function to get  Celin Deon Youtube channel statistics

api_key = 'AIzaSyB24Kop04L1GlTgRCm1XtQ4KB2a4gaBOwA'
Celin_Deon_channel_id = ['UC_yGU4qz9zAjEWLQxCg9NZQ' # Celin Deon
     
              ]
youtube = build('youtube','v3',developerKey = api_key)

from googleapiclient.errors import HttpError

def get_channel_stats(youtube, Celin_Deon_channel_id):
    all_data = []
    try:
        request = youtube.channels().list(
            part='snippet,contentDetails,statistics',
            id=','.join(Celin_Deon_channel_id)
        )
        response = request.execute()

        for item in response.get('items', []):
            snippet = item.get('snippet', {})
            statistics = item.get('statistics', {})

            data = {
                'Channel_name': snippet.get('title', ''),
                'Subscribers': statistics.get('subscriberCount', ''),
                'Views': statistics.get('viewCount', ''),
                'Total_videos': statistics.get('videoCount', '')
            }

            all_data.append(data)

    except HttpError as e:
        print(f"HTTP error occurred: {e}")
        print(f"Request URL: {e.resp.request.url}")
        print(f"Request body: {e.resp.request.body}")

    return all_data


get_channel_stats(youtube,Celin_Deon_channel_id )

[{'Channel_name': 'Celine Dion',
  'Subscribers': '8080000',
  'Views': '4863781960',
  'Total_videos': '108'}]


channel_statistics = get_channel_stats(youtube,Celin_Deon_channel_id )


Celin_Deon_channel_data =pd.DataFrame(channel_statistics)


Celin_Deon_channel_data


#  Function to get Kirk Franklin Youtube channel statistics

api_key = 'AIzaSyB24Kop04L1GlTgRCm1XtQ4KB2a4gaBOwA'
Whitney_Houston_channel_id = ['UC7fzrpTArAqDHuB3Hbmd_CQ' # Whitney Houston
     
              ]
youtube = build('youtube','v3',developerKey = api_key)

from googleapiclient.errors import HttpError

def get_channel_stats(youtube, Whitney_Houston_channel_id):
    all_data = []
    try:
        request = youtube.channels().list(
            part='snippet,contentDetails,statistics',
            id=','.join(Whitney_Houston_channel_id)
        )
        response = request.execute()

        for item in response.get('items', []):
            snippet = item.get('snippet', {})
            statistics = item.get('statistics', {})

            data = {
                'Channel_name': snippet.get('title', ''),
                'Subscribers': statistics.get('subscriberCount', ''),
                'Views': statistics.get('viewCount', ''),
                'Total_videos': statistics.get('videoCount', '')
            }

            all_data.append(data)

    except HttpError as e:
        print(f"HTTP error occurred: {e}")
        print(f"Request URL: {e.resp.request.url}")
        print(f"Request body: {e.resp.request.body}")

    return all_data


get_channel_stats(youtube,Whitney_Houston_channel_id )

[{'Channel_name': 'Whitney Houston',
  'Subscribers': '8610000',
  'Views': '6407064063',
  'Total_videos': '131'}]


channel_statistics = get_channel_stats(youtube,Whitney_Houston_channel_id )


Whitney_Houston_channel_data =pd.DataFrame(channel_statistics)


Whitney_Houston_channel_data


#  Function to get Mariah Carey Youtube channel statistics

api_key = 'AIzaSyB24Kop04L1GlTgRCm1XtQ4KB2a4gaBOwA'
Mariah_Carey_channel_id = ['UCurpiDXSkcUbgdMwHNZkrCg' # Mariah Carey
     
              ]
youtube = build('youtube','v3',developerKey = api_key)

from googleapiclient.errors import HttpError

def get_channel_stats(youtube, Mariah_Carey_channel_id):
    all_data = []
    try:
        request = youtube.channels().list(
            part='snippet,contentDetails,statistics',
            id=','.join(Mariah_Carey_channel_id)
        )
        response = request.execute()

        for item in response.get('items', []):
            snippet = item.get('snippet', {})
            statistics = item.get('statistics', {})

            data = {
                'Channel_name': snippet.get('title', ''),
                'Subscribers': statistics.get('subscriberCount', ''),
                'Views': statistics.get('viewCount', ''),
                'Total_videos': statistics.get('videoCount', '')
            }

            all_data.append(data)

    except HttpError as e:
        print(f"HTTP error occurred: {e}")
        print(f"Request URL: {e.resp.request.url}")
        print(f"Request body: {e.resp.request.body}")

    return all_data


get_channel_stats(youtube,Mariah_Carey_channel_id)

[{'Channel_name': 'Mariah Carey',
  'Subscribers': '10600000',
  'Views': '8471138420',
  'Total_videos': '136'}]


channel_statistics = get_channel_stats(youtube,Mariah_Carey_channel_id )


Mariah_Carey_channel_data =pd.DataFrame(channel_statistics)


Mariah_Carey_channel_data


# Combine DataFrames using concat
combined_rnb_artist_channels_df = pd.concat([
                                    Celin_Deon_channel_data,
                                    Whitney_Houston_channel_data ,
                                        Mariah_Carey_channel_data,
                                       
                                      ], ignore_index=True)

# Display the result
print(combined_rnb_artist_channels_df)

      Channel_name Subscribers       Views Total_videos
0      Celine Dion     8080000  4863781960          108
1  Whitney Houston     8610000  6407064063          131
2     Mariah Carey    10600000  8471138420          136


# lets change the datatypes to perform  visualisations
combined_rnb_artist_channels_df['Subscribers'] = pd.to_numeric(combined_rnb_artist_channels_df['Subscribers'])
combined_rnb_artist_channels_df['Views'] = pd.to_numeric(combined_rnb_artist_channels_df['Views'])
combined_rnb_artist_channels_df['Total_videos'] = pd.to_numeric(combined_rnb_artist_channels_df['Total_videos'])
# letsconirm if the datatypes has changed
combined_rnb_artist_channels_df.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 4 columns):
 #   Column        Non-Null Count  Dtype 
---  ------        --------------  ----- 
 0   Channel_name  3 non-null      object
 1   Subscribers   3 non-null      int64 
 2   Views         3 non-null      int64 
 3   Total_videos  3 non-null      int64 
dtypes: int64(3), object(1)
memory usage: 228.0+ bytes


import matplotlib.pyplot as plt

# Sort the DataFrame by 'Subscribers' in descending order
combined_rnb_artist_channels_df_subscribers_sorted = combined_rnb_artist_channels_df.sort_values(by='Subscribers', ascending=False)

# Plotting Subscribers in descending order
fig, axes = plt.subplots(nrows=3, ncols=1, figsize=(10, 15))

axes[0].bar(combined_rnb_artist_channels_df_subscribers_sorted['Channel_name'],combined_rnb_artist_channels_df_subscribers_sorted['Subscribers'], color='blue')
axes[0].set_title('Subscribers', fontsize=20)  # Adjust title font size as needed

# Sort the DataFrame by 'Views' in descending order
combined_rnb_artist_channels_df_views_sorted = combined_rnb_artist_channels_df.sort_values(by='Views', ascending=False)

# Plotting Views in descending order
axes[1].bar(combined_rnb_artist_channels_df_views_sorted['Channel_name'], combined_rnb_artist_channels_df_views_sorted['Views'], color='green')
axes[1].set_title('Views', fontsize=20)  # Adjust title font size as needed

# Sort the DataFrame by 'Total_videos' in descending order
combined_rnb_artist_channels_df_total_videos_sorted = combined_rnb_artist_channels_df.sort_values(by='Total_videos', ascending=False)

# Plotting Total Videos in descending order
axes[2].bar(combined_rnb_artist_channels_df_total_videos_sorted['Channel_name'], combined_rnb_artist_channels_df_total_videos_sorted['Total_videos'], color='orange')
axes[2].set_title('Total Videos', fontsize=20)  # Adjust title font size as needed



# Adjust layout for better visibility
plt.tight_layout()

# Show the plot
plt.show()

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Top RnB Music Artist YouTube Channels¶

1 Celin Deon¶

2 Whitney Houston¶

3 Mariah Carey¶

1 Celin Deon¶

2 Whitney Houston¶

3 Mariah Carey¶