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Python数据分析：导入在线范例数据集
导入在线范例数据集在做数据分析时，经常要使用范例数据集来做模型验证和演示等，其中Iris花卉数据集就是一个比较常见的统计范例数据。该数据包含150个样本，都属于Iris下面三个亚属，数据集通过记录花萼长度和宽度，花瓣长度和宽度，以及所属亚属
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历史回测平台backtrader的快速上手
历史回测平台backtrader的快速上手backtrader是目前全球范围内基于Python功能最完善的量化回测平台之一，有比较大的社区环境，所以很容易找到帮助。框架也很容易理解，对于一个回测需求，使用backtrader主要包含以下7个
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Geospatial interpolation - K-nearest neighbors
K-Nearest Neighbors (short as KNN) is a neighbor-based learning method that can be used for interpolation, in this case
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Machine Learning

Geospatial interpolation - K-nearest neighbors

K-Nearest Neighbors (short as KNN) is a neighbor-based learning method that can be us

Read more
Technical indicators Bollinger Bands Technical indicators Bollinger Bands
BackgroundBollinger Bands are a type of statistical chart characterizing the prices and volatility over time of an asset
2024-05-08 Quantitative Investment
pandas matplotlib sqlite3 pandas_ta
Technical indicators Relative Strength Index (RSI) Technical indicators Relative Strength Index (RSI)
BackgroundRSI is a momentum indicator that measures the speed and magnitude of a security’s recent price changes to eval
2024-05-01 Quantitative Investment
pandas matplotlib sqlite3 pandas_ta
Technical indicators Garmin-Klass Volatility Technical indicators Garmin-Klass Volatility
Parkinson volatilityBefore talk about Garmin-Klass volatility, it is better to understand Parkinson volatility. Parkins
2024-04-29 Quantitative Investment
numpy pandas sqlite3
Set up a database and store downloaded financial data for future use Set up a database and store downloaded financial data for future use
Once the freely available data is downloaded from the web, it is better to setup a database to store that information fo
2024-04-26 Quantitative Investment
pandas yfinance sqlite3
Three-dimensional function visualization using contour plots Three-dimensional function visualization using contour plots
Contours or color-coded regions could be useful to visualize three-dimensional data in two dimensions. Matplotlib provid
2024-04-16 Data Visualization
numpy matplotlib
Two-dimensional histograms Two-dimensional histograms
Two-dimensional histograms help to visualize two-dimensional points by dividing them among two-dimensional bins. hist2d:
2024-04-10 Data Visualization
numpy matplotlib
Error bars for data analysis Error bars for data analysis
Error bars can be used to represent the variability of data and indicate the error or uncertanty in a reported measureme
2024-04-04 Data Visualization
numpy matplotlib
Customizing plot legends Customizing plot legends
Legend gives a lot of meaning to a visualization, offers explanation for the various plot elements. %matplotlib inline i
2024-03-26 Data Visualization
numpy matplotlib
Geospatial interpolation - K-nearest neighbors Geospatial interpolation - K-nearest neighbors
K-Nearest Neighbors (short as KNN) is a neighbor-based learning method that can be used for interpolation, in this case
2024-03-22 Machine Learning
sklearn geopandas shapely geopy
Geospatial interpolation - Thiessen Polygons Geospatial interpolation - Thiessen Polygons
Thiessen polygon, also called Voronoi diagram, is a partition of a plane into regions close to each of a given set of ob
2024-03-16 Machine Learning
geopandas contextily pyproj shapely
GeoDataFrame datasets from geopandas GeoDataFrame datasets from geopandas
GeoPandas offers several datasets in GeoDataFrame format, which could be good examples for working with spatial vector d
2024-03-12 Data Analysis
geopandas
Nearest neighbor in geospatial data analysis Nearest neighbor in geospatial data analysis
One of the common GIS task is to find the nearest neighbor by given several candidates, in real life a typical question
2024-03-10 Data Analysis
geopandas shapely
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