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92 lines
3.0 KiB
92 lines
3.0 KiB
import pandas as pd
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from scipy.stats import pearsonr, spearmanr
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from flask import Flask, request, jsonify
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app = Flask(__name__)
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## 方差分析
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def run_Pearson(data, alpha, miss_value):
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# 将JSON数据转换为DataFrame
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df = pd.DataFrame(data)
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if miss_value == '用均值替代':
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# 处理缺失值：用均值替代
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df.fillna(df.mean(), inplace=True)
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elif miss_value == '用中位数替代':
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# 处理缺失值 - 用中位数替代
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df.fillna(df.median(), inplace=True)
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elif miss_value == '忽略缺失值':
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# 处理缺失值 - 忽略缺失值
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df.dropna(inplace=True)
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# 计算描述性统计
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desc_stats = df.describe()
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# 计算Pearson相关系数矩阵和p值表
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corr_matrix = df.corr(method='pearson')
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p_values = df.corr(method=lambda x, y: pearsonr(x, y)[1]) # 使用lambda函数计算p值
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# 显著性水平
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alpha = alpha
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# 构建返回的结果字典
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result = {
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"描述性统计": desc_stats.to_dict(),
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"相关系数矩阵": corr_matrix.to_dict(),
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"P值表 (显著性水平={})".format(alpha): p_values.to_dict()
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}
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# 将结果返回为JSON格式
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return jsonify(result)
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def run_Spearman(data, alpha, miss_value):
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# 将JSON数据转换为DataFrame
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df = pd.DataFrame(data)
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if miss_value == '用均值替代':
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# 处理缺失值：用均值替代
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df.fillna(df.mean(), inplace=True)
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elif miss_value == '用中位数替代':
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# 处理缺失值 - 用中位数替代
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df.fillna(df.median(), inplace=True)
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elif miss_value == '忽略缺失值':
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# 处理缺失值 - 忽略缺失值
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df.dropna(inplace=True)
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# 计算描述性统计
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desc_stats = df.describe()
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# 计算Spearman相关系数矩阵和p值表
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corr_matrix, p_values = spearmanr(df, nan_policy='omit')
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# 将相关系数矩阵和p值表转换为数据框
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corr_df = pd.DataFrame(corr_matrix, columns=df.columns,
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index=df.columns)
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p_values_df = pd.DataFrame(p_values, columns=df.columns,
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index=df.columns)
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# 显著性水平
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# alpha = alpha
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# 构建返回的结果字典
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result = {
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"描述性统计": desc_stats.to_dict(),
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"相关系数矩阵": corr_df.to_dict(),
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"P值表 (显著性水平={})".format(alpha): p_values_df.to_dict()
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}
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# 将结果返回为JSON格式
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return jsonify(result)
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@app.route("/relAna/", methods=["POST"])
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def get_cookie():
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# 获取 POST 请求中的 JSON 数据
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global data
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new_data = request.json
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print(new_data)
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ana_way = new_data['ana_way']
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if ana_way == 'Pearson':
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data = run_Pearson(new_data['data'], new_data['ace_level'], new_data['miss_value'])
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elif ana_way == 'Spearman':
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data = run_Spearman(new_data['data'], new_data['ace_level'], new_data['miss_value'])
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return data
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if __name__ == '__main__':
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app.run(port=9902, debug=False, host='0.0.0.0') # 启动服务
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