Explore charts with visualization 1. Data visualization and exploration diagram Data visualization refers to the presentation of data in the form of graphics or tables. Charts can clearly present the nature of data and the relationships between data or attributes, making it easy for people to interpret the chart. Through the Exploratory Graph, users can […]
Tag: pandas
The Three Musketeers of Python Data Analysis: Pandas, Matplotlib and Seaborn
Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover what is behind the data. laws and trends to provide support for business decisions. Reading data using […]
4 functions for element comparison in Pandas DataFrame
Based on examples, we will explain four Pandas functions for element-by-element comparison of data frames. Search and follow “Python Learning and Research Basecamp” on WeChat, join the reader group, and share more exciting things Pandas DataFrame is a two-dimensional data structure with labeled rows and columns. DataFrame with 3 rows and 3 columns Sometimes we […]
The Three Musketeers of Python Data Analysis: Pandas, Matplotlib and Seaborn
Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages: pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover data. The laws and trends behind it provide support for business decisions. Reading data using Pandas First, […]
Solve pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 48, saw 2
Table of Contents Solve pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 48, saw 2 wrong reason Solution Resolve delimiter errors Solve the problem of non-standard data format Summarize Solve pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 48, saw 2 When using Pandas for data processing, you sometimes […]
python_pandas retrieve pictures from a certain column in excel, download them online and save them locally
code show as below: import requests # Essential for crawlers import time # Limit crawler speed import os #Create a new specified storage folder import pandas as pd #Read EXCEL file import re #re is the regular expression module import time importsys from tqdm import tqdm import json import requests import openpyxl from openpyxl import […]
Python pandas processes multiple excels in large batches, and carries out processing, statistics and improvement ideas
Processing goal: Read more than 800 enterprise information in each city for a period of time stored in excel (each city has at least one excel data), and count the number of enterprises in each secondary manufacturing industry in each city from 2012 to 2023. Data size: more than 800 excels, a total size of […]
python pandas.DataFrame is written directly to Clickhouse
import pandas as pd import sqlalchemy from clickhouse_sqlalchemy import Table, engines from sqlalchemy import create_engine, MetaData, Column import urllib.parse host = ‘1.1.1.1’ user = ‘default’ password = ‘default’ db = ‘test’ port = 8123 # http connection port engine = create_engine(‘clickhouse://{user}:{password}@{host}:{port}/{db}’ .format(user = user, host = host, password = urllib.parse.quote_plus(password), db = db, port = […]
Python: Use the pandas package to complete the transpose operation of excel data
Directory question primary method Import Data Observation data Processing ideas and code Advanced method Import & observe data Processing ideas and code Step by step version: Extract column index Extract row index Extract value Build a new data frame Transpose Function version: Question Due to business requirements, Table A needs to be converted into Table […]
pandas calculates the photovoltaic power generation time utilization rate of charging stations through charging orders
1. Case background The existing electric vehicle charging station order record data set contains data from many stations and many days. The data intercepts data from 6 am to 19 pm. The fields include the name of the charging station, the name of the charging pile, the name of the charging gun, and the start […]