If the data is numeric, the color will automatically be considered continuous. Most Plotly Express functions accept a color argument which automatically assigns data values to discrete colors if the data is non-numeric. Legends are the discrete equivalent of continuous color bars Legends are configurable under the layout.legend attribute. Legend markers also change shape when used with various kinds of traces, such as symbols or lines for scatter-like traces. legends are visible representations of the mapping between colors and data values.Color sequence defaults depend on the lorway attribute of the active template, and can be explicitly specified using the color_discrete_sequence argument for many Plotly Express functions.
No interpolation occurs when using color sequences, unlike with continuous color scales, and each color is used as-is.
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The first question in our mind is How to crack kimberly-clark interview processed. This document explains the following discrete-color-related concepts: You can get a job based on these kimberly-clark intewrview questions that were created based on the research and survey of the company. This page is about using color to represent categorical data using discrete colors, but Plotly can also represent continuous values with color. raising the bar for industry investment and marking an unprecedented. labels), color can be used to represent continuous or discrete data. In the 3Q20 Boeing posted 466m net loss on 14.1b revenues vs 1.2b profit on 20b. amounts or moments in time) or categories (i.e. Analytical modeling of injection test results indicate that the majority of the well is low permeability (< 10 −16 m²), with some discrete, localized zones of higher permeability (∼ 10 -12 m², less than 0.5 percent of the pre-Miocene (deep) section intersected by the well).In the same way as the X or Y position of a mark in cartesian coordinates can be used to represent continuous values (i.e. However injection test results indicate an injectivity index of 0.025 L/min/kPa, which is an order of magnitude lower than a typical threshold for commercial wells. Mud loss locations and a non-equilibrated temperature log suggest that there are some zones with relatively-higher permeability and/or open fractures.
Therefore, natural fractures appear optimally oriented for reactivation via hydraulic stimulation.
The dominant orientation of these natural fractures observed in FMI logs is NNE-SSW with an average strike of 010° ± 40°, subparallel to the interpreted S Hmax orientation of 009° ± 14° that is indicated by drilling-induced structures in the wellbore in the BHTV log. Natural fractures are abundant throughout the pre-Miocene section, but are more frequent in the felsic intrusive and felsic volcanic lithologies. Overall lithologic variability is high, with volcanic, intrusive, metamorphic, and sedimentary rocks present in the bottom 700 m of the well. This is higher than the hottest measured equilibrated temperature at similar depths in other wells on the FORGE site today, and suggests that the system was higher temperature in the past. Hydrothermal alteration and veining is found throughout the entire pre-Miocene interval of well 21−31, and includes epidote mineral assemblages that suggest past temperatures >250 ☌. In this paper, we integrate and evaluate borehole data from well 21−31, including drill cuttings and sidewall cores (petrographic, XRD, hyperspectral), wireline geophysical logs (e.g., gamma, neutron porosity, resistivity, sonic scanner), borehole imagers (FMI, BHTV), and pressure and temperature logs. Site activities culminated in the drilling of a 2481 m-deep EGS observation well (21−31) to further verify the geology and rock properties of the proposed EGS reservoir formations, which are older than the Miocene and include felsic intrusions, felsic volcanics, and meta-sedimentary lithologies. This included the compilation, synthesis and acquisition of geophysical, geological, geochemical, hydrological, down-hole log, and mineralogy datasets. Between 20, the Fallon FORGE EGS (Engineered or Enhanced Geothermal System) site in Churchill County, Nevada, USA, underwent detailed geoscientific characterization to evaluate its suitability to operate as a field demonstration site to test and develop EGS technologies.