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def add_release_metrics_aa(df): | |
df = ( | |
df | |
.assign( | |
y0=50, | |
yf=17/12, | |
yR=lambda df: 60.5 - df['release_extension'], | |
tR=lambda df: (-df['vy0'] - np.sqrt(df['vy0']**2 - 2 * df['ay'] * (df['y0'] - df['yR']))) / df['ay'], | |
vxR=lambda df: df['vx0'] + df['ax'] * df['tR'], | |
vyR=lambda df: df['vy0'] + df['ay'] * df['tR'], |
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def get_statcast(input_year,milb): | |
sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&" | |
import io | |
import os | |
from datetime import datetime | |
from typing import List, Union | |
import numpy as np | |
import pandas as pd |
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def get_statcast(input_year,milb): | |
sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&" | |
import io | |
import os | |
from datetime import datetime | |
from typing import List, Union | |
import numpy as np | |
import pandas as pd |
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def get_statcast(input_year,milb): | |
sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&" | |
import io | |
import os | |
from datetime import datetime | |
from typing import List, Union | |
import numpy as np | |
import pandas as pd |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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def get_statcast(input_year,milb): | |
sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&" | |
import io | |
import os | |
from datetime import datetime | |
from typing import List, Union | |
import numpy as np | |
import pandas as pd |