intervals

问题 I am trying to substract dates from today (Get a 1 month ago till forever report). So far I've tried DATE_SUB(NOW(), INTERVAL 1 MONTH) Here is the context: SELECT contracts.currency , ROUND(SUM( CASE WHEN contracts.currency = 'USD' THEN contracts.value*550 WHEN contracts.currency = 'UF' THEN contracts.value*22000 ELSE contracts.value END),2) AS real_value FROM contracts WHERE currency IN ('USD','UF','CLP') AND date >=DATE_SUB(NOW(), INTERVAL 1 MONTH) GROUP BY currency ORDER BY currency ASC

问题 I am trying to substract dates from today (Get a 1 month ago till forever report). So far I've tried DATE_SUB(NOW(), INTERVAL 1 MONTH) Here is the context: SELECT contracts.currency , ROUND(SUM( CASE WHEN contracts.currency = 'USD' THEN contracts.value*550 WHEN contracts.currency = 'UF' THEN contracts.value*22000 ELSE contracts.value END),2) AS real_value FROM contracts WHERE currency IN ('USD','UF','CLP') AND date >=DATE_SUB(NOW(), INTERVAL 1 MONTH) GROUP BY currency ORDER BY currency ASC

问题 My dataframe has zero as the lowest value. I am trying to use the precision and include_lowest parameters of pandas.cut() , but I can't get the intervals consist of integers rather than floats with one decimal. I can also not get the left most interval to stop at zero. import pandas as pd import seaborn as sns import matplotlib.pyplot as plt sns.set(style='white', font_scale=1.3) df = pd.DataFrame(range(0,389,8)[:-1], columns=['value']) df['binned_df_pd'] = pd.cut(df.value, bins=7, precision

问题 I found that many people use x += x & -x , x -= x & -x to solve the interval tree problem. Can you explain what that equation means? void update(int m, int x) { m++; while (m < N) { t[m] = t[m] + x; m += m & -m; } } int query(int m) { int result= 0; m++; while (m > 0) { result = result + t[m]; m -= m & -m; } return result; } 回答1: Note: This answer (like the method itself) assumes signed integers are represented in two's complement form. The expression x & -x is a quick - but admittedly arcane

问题 Ok, i have a table with a date column and a integer column, and i want to retrieve all the rows grouped by date's day within a certain date range; since there are not rows for every day, is it possible to make mysql return rows for those days with a default value? example source table: date value 2020-01-01 1 2020-01-01 2 2020-01-03 2 2020-01-07 3 2020-01-08 4 2020-01-08 1 Standard behaviour after group ing by date and sum ming values: 2020-01-01 3 2020-01-03 2 2020-01-07 3 2020-01-08 5

问题 I have a list of date+time start and stop that I would like to plot as bars. The X-axis should go from 00:00-23:59 with date on the Y-axis I tried plotting in gnuplot , but my skills are not good enough. The data is in the following format: Date Start Stop 06.03.2019 09:45 11:17 06.03.2019 14:40 15:20 07.03.2019 08:35 10:15 07.03.2019 14:05 14:45 08.03.2019 09:15 10:20 08.03.2019 13:55 14:45 09.03.2019 08:55 09:50 09.03.2019 13:15 14:36 10.03.2019 09:05 10:00 I would like to get a plot

问题 I want to get 30 min interval from time picker dialog and below code works proper below Android N but not working in latest device. Below is my code for activity . public class MainActivity extends AppCompatActivity { private TextView tvSelectedTime; private Button btnOpentimePickerDialog; private int intHour, intMinute; private String strMin = ""; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); getIds(

问题 I want to get 30 min interval from time picker dialog and below code works proper below Android N but not working in latest device. Below is my code for activity . public class MainActivity extends AppCompatActivity { private TextView tvSelectedTime; private Button btnOpentimePickerDialog; private int intHour, intMinute; private String strMin = ""; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); getIds(

问题 I want to get interval margins of a column with pandas intervals and write them in columns 'left', 'right'. Iterrows does not work (documentation says it would not be use for writing data) and, anyway it would not be the better solution. import pandas as pd i1 = pd.Interval(left=85, right=94) i2 = pd.Interval(left=95, right=104) i3 = pd.Interval(left=105, right=114) i4 = pd.Interval(left=115, right=124) i5 = pd.Interval(left=125, right=134) i6 = pd.Interval(left=135, right=144) i7 = pd

问题 I want to get interval margins of a column with pandas intervals and write them in columns 'left', 'right'. Iterrows does not work (documentation says it would not be use for writing data) and, anyway it would not be the better solution. import pandas as pd i1 = pd.Interval(left=85, right=94) i2 = pd.Interval(left=95, right=104) i3 = pd.Interval(left=105, right=114) i4 = pd.Interval(left=115, right=124) i5 = pd.Interval(left=125, right=134) i6 = pd.Interval(left=135, right=144) i7 = pd