el/stockdb
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feaet: now cycles through wanted files

Browse Source
This commit is contained in:
Leonard Excoffier
2024-08-31 15:41:33 -04:00
parent f31d901201
commit 3a60674b7c
1 changed files with 26 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

41
write_to_db.py
View File

@@ -1,18 +1,29 @@
import pandas as pd
# Read the data into a Pandas DataFrame
file_path = 'sec_data/2024q1/tag.txt'
df = pd.read_csv(file_path, sep='\t')
# Define a list of file paths for easy modification
file_paths = [
'sec_data/2024q1/num.txt',
'sec_data/2024q1/pre.txt',
'sec_data/2024q1/sub.txt',
'sec_data/2024q1/tag.txt'
]
# Inspect the DataFrame
print("First rows of the DataFrame:")
print(df.head(10))
# Get the DataFrame Information
print("\nSummary Information:")
print(df.info())
# Check if there are any missing values in the DataFrame
missing_values = df.isnull().sum()
print("\nMissing Values:")
print(missing_values)
# Loop through each file and perform analysis
for i, file_path in enumerate(file_paths):
print(f"\nAnalyzing {file_path} (File {i+1}/4)...")
# Read the data into a Pandas DataFrame
df = pd.read_csv(file_path, sep='\t')
# Inspect the DataFrame
print("First rows of the DataFrame:")
print(df.head(10))
# Get the DataFrame Information
print("\nSummary Information:")
print(df.info())
# Check if there are any missing values in the DataFrame
missing_values = df.isnull().sum()
print("\nMissing Values:")
print(missing_values)