0 PID 332 non-null int64 1 county 332 non-null object 2 state 332 non-null object 3 area 332 non-null float64 4 poptotal 332 non-null int64 5 popdensity 332 non-null float64 6 popwhite 332 non-null int64 7
") print(str(response))# Run the agentif __name__ == "__main__": asyncio.run(main())The result of \( 1234 \times 4567 \) is \( 5,678,678 \).8. Robyn — 最快的 Python Web 框架 Robyn 是 Flask 和 FastAPI 的高性能替代品，针对多核处理进行了优化。为什么要使用它： 它...
用https://github.com/jschwinger233/perf-examples/blob/main/cpython310_backtrace/bpf.c 来做一个例子,在之前的很多年的时候,我们会怎么做 #definePAGE_SIZE (1<<12) #defineKASAN_STACK_ORDER 0 #defineTHREAD_SIZE_ORDER (2 + KASAN_STACK_ORDER) #defineTHREAD_SIZE ((__u64)(PAGE_SIZE << THREAD...
Name: What is your current occupation, dtype: int64 绘制目标变量的柱状图。 查看一下转化率。 d = {} for val in data['What is your current occupation'].unique(): a = data[data['What is your current occupation'] == val]['Converted'].sum() b = data[data['What is your current occu...
1. What is __init__? 2. What is the difference between Python Arrays and lists? 3. Explain how can you make a Python Script executable on Unix? 4. What is slicing in Python? 5. What is docstring in Python? 6. What are unit tests in Python? 7. What is break, continue and pass...
>>> pandas_ai.run(df, prompt='What is the sum of the GDPs of the 2 unhappiest countries?') >>> 19012600725504 >>> pandas_ai.run( df, "Plot the histogram of countries showing for each the gpd, using different colors for each bar", ) 赞叹之余,不免好奇这样集成是如何实现的呢?随手查...
What’s nice is that both of these operations ultimatelyutilize Cython codethat makes them competitive on speed while maintaining their flexibility. Mark as Completed Share Watch NowThis tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial...
n_nodes = clf.tree_.node_count children_left = clf.tree_.children_left children_right = clf.tree_.children_right feature = clf.tree_.feature threshold = clf.tree_.threshold node_depth = np.zeros(shape=n_nodes, dtype=np.int64) is_leaves = np.zeros(shape=n_nodes, dtype=bool) stack ...
year int64 month int64 day int64 dep_time float64 sched_dep_time int64 dep_delay float64 arr_time float64 sched_arr_time int64 arr_delay float64 carrier object flight int64 tailnum object origin object dest object air_time float64 distance int64 dtype: object ...
同样的整数,用np.int64占用的内存是np.int16的4倍 import numpy as np int64arr = np.ones((1024, 1024), dtype=np.int64) int16arr = np.ones((1024, 1024), dtype=np.int16) #占用(内存)的字节数 print(int64arr.nbytes) print(int16arr.nbytes) ...